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MOBISYS
2010
ACM
15 years 6 months ago
Darwin phones: the evolution of sensing and inference on mobile phones
We present Darwin, an enabling technology for mobile phone sensing that combines collaborative sensing and classification techniques to reason about human behavior and context on ...
Emiliano Miluzzo, Cory Cornelius, Ashwin Ramaswamy...
CASES
2005
ACM
15 years 6 months ago
Exploiting pipelining to relax register-file port constraints of instruction-set extensions
Customisable embedded processors are becoming available on the market, thus making it possible for designers to speed up execution of applications by using Application-specific F...
Laura Pozzi, Paolo Ienne
ESANN
2007
15 years 5 months ago
How to process uncertainty in machine learning?
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Barbara Hammer, Thomas Villmann
IM
2007
15 years 5 months ago
Estimating End-to-End Performance by Collaborative Prediction with Active Sampling
— Accurately estimating end-to-end performance in distributed systems is essential both for monitoring compliance with service-level agreements (SLAs) and for performance optimiz...
Irina Rish, Gerald Tesauro
IM
2003
15 years 5 months ago
Facilitating Efficient and Reliable Monitoring through HAMSA
: Monitoring is a fundamental building block of any network management system. It is needed to ensure that the network operates within the required parameters, and to account for u...
David Breitgand, Danny Dolev, Danny Raz, Gleb Shav...
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